diff --git a/doxygen/classregression_template-members.html b/doxygen/classregression_template-members.html index c05d7ee..2d7876c 100644 --- a/doxygen/classregression_template-members.html +++ b/doxygen/classregression_template-members.html @@ -103,8 +103,8 @@ - - + + diff --git a/doxygen/classregression_template.html b/doxygen/classregression_template.html index 6bce0b4..2861b50 100644 --- a/doxygen/classregression_template.html +++ b/doxygen/classregression_template.html @@ -140,12 +140,12 @@ - - + + - - + + @@ -307,8 +307,8 @@

-

◆ getNumHiddenLayers()

+ +

◆ getNumHiddenLayers()

@@ -316,7 +316,7 @@

- +
getJSON()modelSet< T >
getNumEpochs() constregressionTemplate< T >
getNumHiddenLayers() constregressionTemplate< T >
getNumHiddenNodes() constregressionTemplate< T >
getNumHiddenLayers() constregressionTemplate< T >
getNumHiddenNodes() constregressionTemplate< T >
getTrainingProgress()regressionTemplate< T >
inputNamesmodelSet< T >protected
isTrainedmodelSet< T >protected
 
void setNumEpochs (const size_t &epochs)
 
std::vector< int > getNumHiddenLayers () const
 
std::vector< size_t > getNumHiddenLayers () const
 
void setNumHiddenLayers (const int &num_hidden_layers)
 
std::vector< int > getNumHiddenNodes () const
 
std::vector< size_t > getNumHiddenNodes () const
 
void setNumHiddenNodes (const int &num_hidden_nodes)
 
- Public Member Functions inherited from modelSet< T >
std::vector< int > regressionTemplate< T >::getNumHiddenLayersstd::vector< size_t > regressionTemplate< T >::getNumHiddenLayers
@@ -324,8 +324,8 @@

-

◆ getNumHiddenNodes()

+ +

◆ getNumHiddenNodes()

@@ -333,7 +333,7 @@

- std::vector< int > regressionTemplate< T >::getNumHiddenNodes + std::vector< size_t > regressionTemplate< T >::getNumHiddenNodes

diff --git a/doxygen/classregression_template.js b/doxygen/classregression_template.js index b4780da..73c5029 100644 --- a/doxygen/classregression_template.js +++ b/doxygen/classregression_template.js @@ -5,8 +5,8 @@ var classregression_template = [ "regressionTemplate", "classregression_template.html#a61a66e9147f1d7cfaf1e31ca23950456", null ], [ "~regressionTemplate", "classregression_template.html#afc652b5c45d09af171b354e52e2c9976", null ], [ "getNumEpochs", "classregression_template.html#ab17c5d153d183531bec15c0b465a12a1", null ], - [ "getNumHiddenLayers", "classregression_template.html#af4afebc223f1eeec29cb27a1bb12c214", null ], - [ "getNumHiddenNodes", "classregression_template.html#a16eb2e1e5d22322cc378a6677aebd0b9", null ], + [ "getNumHiddenLayers", "classregression_template.html#ac8da190031b649c758cad3d95e6b568d", null ], + [ "getNumHiddenNodes", "classregression_template.html#ad5675645c3d74ec223a3d666e9ea36aa", null ], [ "getTrainingProgress", "classregression_template.html#a1f52c5f27c030b891247fd538fd9f4c9", null ], [ "setNumEpochs", "classregression_template.html#a33c24f1ea46fed7bd72f1c00848ad5ec", null ], [ "setNumHiddenLayers", "classregression_template.html#abc436bce22ede1014180e93779a25ba5", null ], diff --git a/doxygen/dir_68267d1309a1af8e8297ef4c3efbcdba.js b/doxygen/dir_68267d1309a1af8e8297ef4c3efbcdba.js index ebdd1d8..35462d7 100644 --- a/doxygen/dir_68267d1309a1af8e8297ef4c3efbcdba.js +++ b/doxygen/dir_68267d1309a1af8e8297ef4c3efbcdba.js @@ -36,7 +36,7 @@ var dir_68267d1309a1af8e8297ef4c3efbcdba = [ "searchWindow.h", "search_window_8h.html", [ [ "searchWindow", "classsearch_window.html", "classsearch_window" ] ] ], - [ "seriesClassification.cpp", "series_classification_8cpp.html", "series_classification_8cpp" ], + [ "seriesClassification.cpp", "series_classification_8cpp.html", null ], [ "seriesClassification.h", "series_classification_8h.html", "series_classification_8h" ], [ "svmClassification.cpp", "svm_classification_8cpp.html", null ], [ "svmClassification.h", "svm_classification_8h.html", [ diff --git a/doxygen/functions.html b/doxygen/functions.html index 55a3e36..d821828 100644 --- a/doxygen/functions.html +++ b/doxygen/functions.html @@ -218,11 +218,11 @@

- g -

diff --git a/doxygen/globals_defs.html b/doxygen/globals_defs.html index 7cf22f3..a15e5aa 100644 --- a/doxygen/globals_defs.html +++ b/doxygen/globals_defs.html @@ -113,9 +113,6 @@
  • RAPIDLIB_VERSION_PATCH : rapidLib.h
    • -
  • SEARCH_RADIUS -: seriesClassification.cpp -
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    134  size_t getCurrentEpoch() const;
    135 
    136 private:
    -
    138  T learningRate = 0.3;
    -
    139  T momentum = 0.2;
    -
    140  size_t numEpochs = 500;
    -
    141  size_t currentEpoch = 0;
    +
    138  T learningRate { 0.3 };
    +
    139  T momentum { 0.2 };
    +
    140  size_t numEpochs { 500 };
    +
    141  size_t currentEpoch { 0 };
    142 
    144  std::vector<std::vector< std::vector<T> > > deltaWeights;
    145  std::vector<T> deltaHiddenOutput;
    @@ -211,27 +211,27 @@
    baseModel.h
    baseModel
    Definition: baseModel.h:42
    neuralNetwork
    Definition: neuralNetwork.h:25
    -
    neuralNetwork::getInBases
    std::vector< T > getInBases() const
    Definition: neuralNetwork.cpp:292
    -
    neuralNetwork::getOutRange
    T getOutRange() const
    Definition: neuralNetwork.cpp:298
    -
    neuralNetwork::getWeights
    std::vector< T > getWeights() const
    Definition: neuralNetwork.cpp:263
    -
    neuralNetwork::getOutBase
    T getOutBase() const
    Definition: neuralNetwork.cpp:304
    -
    neuralNetwork::train
    void train(const std::vector< trainingExampleTemplate< T > > &trainingSet) override
    These pertain to the training, and aren't need to run a trained model //.
    Definition: neuralNetwork.cpp:405
    -
    neuralNetwork::neuralNetwork
    neuralNetwork(const size_t &num_inputs, const std::vector< size_t > &which_inputs, const size_t &num_hidden_layers, const size_t &num_hidden_nodes, const std::vector< T > &weights, const std::vector< T > &wHiddenOutput, const std::vector< T > &inRanges, const std::vector< T > &inBases, const T &outRange, const T &outBase)
    Definition: neuralNetwork.cpp:40
    -
    neuralNetwork::setNumHiddenNodes
    void setNumHiddenNodes(size_t num_hidden_nodes)
    Definition: neuralNetwork.cpp:244
    -
    neuralNetwork::reset
    void reset() override
    Definition: neuralNetwork.cpp:145
    -
    neuralNetwork::getNumInputs
    size_t getNumInputs() const override
    Definition: neuralNetwork.cpp:215
    -
    neuralNetwork::setNumHiddenLayers
    void setNumHiddenLayers(size_t num_hidden_layers)
    Definition: neuralNetwork.cpp:231
    -
    neuralNetwork::getJSONDescription
    void getJSONDescription(Json::Value &currentModel) override
    Definition: neuralNetwork.cpp:311
    -
    neuralNetwork::getWhichInputs
    std::vector< size_t > getWhichInputs() const override
    Definition: neuralNetwork.cpp:221
    -
    neuralNetwork::getNumHiddenNodes
    size_t getNumHiddenNodes() const
    Definition: neuralNetwork.cpp:238
    -
    neuralNetwork::run
    T run(const std::vector< T > &inputVector) override
    Definition: neuralNetwork.cpp:360
    -
    neuralNetwork::~neuralNetwork
    ~neuralNetwork()
    Definition: neuralNetwork.cpp:140
    -
    neuralNetwork::setEpochs
    void setEpochs(const size_t &epochs)
    Definition: neuralNetwork.cpp:257
    -
    neuralNetwork::getInRanges
    std::vector< T > getInRanges() const
    Definition: neuralNetwork.cpp:286
    -
    neuralNetwork::getNumHiddenLayers
    size_t getNumHiddenLayers() const
    Definition: neuralNetwork.cpp:225
    -
    neuralNetwork::getEpochs
    size_t getEpochs() const
    Definition: neuralNetwork.cpp:251
    -
    neuralNetwork::getWHiddenOutput
    std::vector< T > getWHiddenOutput() const
    Definition: neuralNetwork.cpp:280
    -
    neuralNetwork::getCurrentEpoch
    size_t getCurrentEpoch() const
    Definition: neuralNetwork.cpp:529
    +
    neuralNetwork::getInBases
    std::vector< T > getInBases() const
    Definition: neuralNetwork.cpp:289
    +
    neuralNetwork::getOutRange
    T getOutRange() const
    Definition: neuralNetwork.cpp:295
    +
    neuralNetwork::getWeights
    std::vector< T > getWeights() const
    Definition: neuralNetwork.cpp:260
    +
    neuralNetwork::getOutBase
    T getOutBase() const
    Definition: neuralNetwork.cpp:301
    +
    neuralNetwork::train
    void train(const std::vector< trainingExampleTemplate< T > > &trainingSet) override
    These pertain to the training, and aren't need to run a trained model //.
    Definition: neuralNetwork.cpp:402
    +
    neuralNetwork::neuralNetwork
    neuralNetwork(const size_t &num_inputs, const std::vector< size_t > &which_inputs, const size_t &num_hidden_layers, const size_t &num_hidden_nodes, const std::vector< T > &weights, const std::vector< T > &wHiddenOutput, const std::vector< T > &inRanges, const std::vector< T > &inBases, const T &outRange, const T &outBase)
    Definition: neuralNetwork.cpp:41
    +
    neuralNetwork::setNumHiddenNodes
    void setNumHiddenNodes(size_t num_hidden_nodes)
    Definition: neuralNetwork.cpp:241
    +
    neuralNetwork::reset
    void reset() override
    Definition: neuralNetwork.cpp:146
    +
    neuralNetwork::getNumInputs
    size_t getNumInputs() const override
    Definition: neuralNetwork.cpp:209
    +
    neuralNetwork::setNumHiddenLayers
    void setNumHiddenLayers(size_t num_hidden_layers)
    Definition: neuralNetwork.cpp:227
    +
    neuralNetwork::getJSONDescription
    void getJSONDescription(Json::Value &currentModel) override
    Definition: neuralNetwork.cpp:308
    +
    neuralNetwork::getWhichInputs
    std::vector< size_t > getWhichInputs() const override
    Definition: neuralNetwork.cpp:215
    +
    neuralNetwork::getNumHiddenNodes
    size_t getNumHiddenNodes() const
    Definition: neuralNetwork.cpp:235
    +
    neuralNetwork::run
    T run(const std::vector< T > &inputVector) override
    Definition: neuralNetwork.cpp:357
    +
    neuralNetwork::~neuralNetwork
    ~neuralNetwork()
    Definition: neuralNetwork.cpp:141
    +
    neuralNetwork::setEpochs
    void setEpochs(const size_t &epochs)
    Definition: neuralNetwork.cpp:254
    +
    neuralNetwork::getInRanges
    std::vector< T > getInRanges() const
    Definition: neuralNetwork.cpp:283
    +
    neuralNetwork::getNumHiddenLayers
    size_t getNumHiddenLayers() const
    Definition: neuralNetwork.cpp:221
    +
    neuralNetwork::getEpochs
    size_t getEpochs() const
    Definition: neuralNetwork.cpp:248
    +
    neuralNetwork::getWHiddenOutput
    std::vector< T > getWHiddenOutput() const
    Definition: neuralNetwork.cpp:277
    +
    neuralNetwork::getCurrentEpoch
    size_t getCurrentEpoch() const
    Definition: neuralNetwork.cpp:526
    trainingExampleTemplate
    Definition: trainingExample.h:19
    diff --git a/doxygen/rapid_stream_8cpp.html b/doxygen/rapid_stream_8cpp.html index 87bd703..c709b33 100644 --- a/doxygen/rapid_stream_8cpp.html +++ b/doxygen/rapid_stream_8cpp.html @@ -104,16 +104,18 @@ #include <iostream>
    #include <cmath>
    #include <limits>
    +#include <numeric>
    Include dependency graph for rapidStream.cpp:
    - + + diff --git a/doxygen/rapid_stream_8cpp__incl.map b/doxygen/rapid_stream_8cpp__incl.map index fc053fc..71fc0b1 100644 --- a/doxygen/rapid_stream_8cpp__incl.map +++ b/doxygen/rapid_stream_8cpp__incl.map @@ -1,9 +1,10 @@ - + + diff --git a/doxygen/rapid_stream_8cpp__incl.md5 b/doxygen/rapid_stream_8cpp__incl.md5 index a8251a3..47bfd05 100644 --- a/doxygen/rapid_stream_8cpp__incl.md5 +++ b/doxygen/rapid_stream_8cpp__incl.md5 @@ -1 +1 @@ -a095bd118ae83b5db7fc2c5a019a79f1 \ No newline at end of file +39ff83af4e1d83614980f5e7fb2e1fb7 \ No newline at end of file diff --git a/doxygen/rapid_stream_8cpp__incl.png b/doxygen/rapid_stream_8cpp__incl.png index ef3cde3..043174b 100644 Binary files a/doxygen/rapid_stream_8cpp__incl.png and b/doxygen/rapid_stream_8cpp__incl.png differ diff --git a/doxygen/rapid_stream_8h_source.html b/doxygen/rapid_stream_8h_source.html index 2df2abb..704cdf2 100644 --- a/doxygen/rapid_stream_8h_source.html +++ b/doxygen/rapid_stream_8h_source.html @@ -156,7 +156,7 @@
    117  private:
    118  std::size_t windowSize;
    119  std::atomic<uint32_t> windowIndex;
    -
    120  T* circularWindow;
    +
    120  std::vector<T> circularWindow;
    121 
    122  inline T calcCurrentVel(std::size_t i) const;
    123 
    @@ -166,27 +166,27 @@
    127 
    128 #endif
    rapidLib::rapidStream
    Definition: rapidStream.h:19
    -
    rapidLib::rapidStream::bayesSetMVC
    void bayesSetMVC(float mvc)
    Definition: rapidStream.cpp:187
    -
    rapidLib::rapidStream::standardDeviation
    T standardDeviation() const
    Definition: rapidStream.cpp:148
    -
    rapidLib::rapidStream::maxVelocity
    T maxVelocity() const
    Definition: rapidStream.cpp:206
    -
    rapidLib::rapidStream::maximum
    T maximum() const
    Definition: rapidStream.cpp:93
    -
    rapidLib::rapidStream::minimum
    T minimum() const
    Definition: rapidStream.cpp:82
    -
    rapidLib::rapidStream::clear
    void clear()
    Definition: rapidStream.cpp:52
    -
    rapidLib::rapidStream::rms
    T rms() const
    Definition: rapidStream.cpp:158
    -
    rapidLib::rapidStream::numZeroCrossings
    uint32_t numZeroCrossings() const
    Definition: rapidStream.cpp:104
    -
    rapidLib::rapidStream::bayesSetJumpRate
    void bayesSetJumpRate(float jump_rate)
    Definition: rapidStream.cpp:181
    -
    rapidLib::rapidStream::sum
    T sum() const
    Definition: rapidStream.cpp:134
    -
    rapidLib::rapidStream::maxAcceleration
    T maxAcceleration() const
    Definition: rapidStream.cpp:233
    -
    rapidLib::rapidStream::bayesSetDiffusion
    void bayesSetDiffusion(float logDiffusion)
    Definition: rapidStream.cpp:175
    -
    rapidLib::rapidStream::~rapidStream
    ~rapidStream()
    Definition: rapidStream.cpp:47
    -
    rapidLib::rapidStream::acceleration
    T acceleration() const
    Definition: rapidStream.cpp:77
    -
    rapidLib::rapidStream::pushToWindow
    void pushToWindow(T input)
    Definition: rapidStream.cpp:61
    -
    rapidLib::rapidStream::rapidStream
    rapidStream()
    Definition: rapidStream.cpp:37
    -
    rapidLib::rapidStream::bayesFilter
    T bayesFilter(T inputValue)
    Definition: rapidStream.cpp:168
    -
    rapidLib::rapidStream::mean
    T mean() const
    Definition: rapidStream.cpp:143
    -
    rapidLib::rapidStream::minVelocity
    T minVelocity() const
    Definition: rapidStream.cpp:194
    -
    rapidLib::rapidStream::velocity
    T velocity() const
    Definition: rapidStream.cpp:72
    -
    rapidLib::rapidStream::minAcceleration
    T minAcceleration() const
    Definition: rapidStream.cpp:218
    +
    rapidLib::rapidStream::bayesSetMVC
    void bayesSetMVC(float mvc)
    Definition: rapidStream.cpp:198
    +
    rapidLib::rapidStream::standardDeviation
    T standardDeviation() const
    Definition: rapidStream.cpp:152
    +
    rapidLib::rapidStream::maxVelocity
    T maxVelocity() const
    Definition: rapidStream.cpp:219
    +
    rapidLib::rapidStream::maximum
    T maximum() const
    Definition: rapidStream.cpp:96
    +
    rapidLib::rapidStream::minimum
    T minimum() const
    Definition: rapidStream.cpp:90
    +
    rapidLib::rapidStream::clear
    void clear()
    Definition: rapidStream.cpp:57
    +
    rapidLib::rapidStream::rms
    T rms() const
    Definition: rapidStream.cpp:164
    +
    rapidLib::rapidStream::numZeroCrossings
    uint32_t numZeroCrossings() const
    Definition: rapidStream.cpp:102
    +
    rapidLib::rapidStream::bayesSetJumpRate
    void bayesSetJumpRate(float jump_rate)
    Definition: rapidStream.cpp:191
    +
    rapidLib::rapidStream::sum
    T sum() const
    Definition: rapidStream.cpp:140
    +
    rapidLib::rapidStream::maxAcceleration
    T maxAcceleration() const
    Definition: rapidStream.cpp:252
    +
    rapidLib::rapidStream::bayesSetDiffusion
    void bayesSetDiffusion(float logDiffusion)
    Definition: rapidStream.cpp:184
    +
    rapidLib::rapidStream::~rapidStream
    ~rapidStream()
    Definition: rapidStream.cpp:51
    +
    rapidLib::rapidStream::acceleration
    T acceleration() const
    Definition: rapidStream.cpp:84
    +
    rapidLib::rapidStream::pushToWindow
    void pushToWindow(T input)
    Definition: rapidStream.cpp:65
    +
    rapidLib::rapidStream::rapidStream
    rapidStream()
    Definition: rapidStream.cpp:36
    +
    rapidLib::rapidStream::bayesFilter
    T bayesFilter(T inputValue)
    Definition: rapidStream.cpp:176
    +
    rapidLib::rapidStream::mean
    T mean() const
    Definition: rapidStream.cpp:146
    +
    rapidLib::rapidStream::minVelocity
    T minVelocity() const
    Definition: rapidStream.cpp:205
    +
    rapidLib::rapidStream::velocity
    T velocity() const
    Definition: rapidStream.cpp:78
    +
    rapidLib::rapidStream::minAcceleration
    T minAcceleration() const
    Definition: rapidStream.cpp:234
    rapidLib
    Definition: classification.h:75
    diff --git a/doxygen/regression_8h_source.html b/doxygen/regression_8h_source.html index 854b9f8..c09151c 100644 --- a/doxygen/regression_8h_source.html +++ b/doxygen/regression_8h_source.html @@ -109,40 +109,40 @@
    23 class regressionTemplate final : public modelSet<T>
    24 {
    25 public:
    -
    27  regressionTemplate();
    -
    29  regressionTemplate(const std::vector<trainingExampleTemplate<T> > &trainingSet);
    -
    31  regressionTemplate(const int &numInputs, const int &numOutputs);
    -
    32 
    -
    34  ~regressionTemplate() {};
    -
    35 
    -
    37  bool train(const std::vector<trainingExampleTemplate<T> > &trainingSet) override;
    -
    38 
    -
    40  float getTrainingProgress();
    -
    41 
    -
    43  std::vector<size_t> getNumEpochs() const;
    -
    44 
    -
    46  void setNumEpochs(const size_t &epochs);
    -
    47 
    -
    49  std::vector<int> getNumHiddenLayers() const;
    -
    50 
    -
    52  void setNumHiddenLayers(const int &num_hidden_layers);
    -
    53 
    -
    55  std::vector<int> getNumHiddenNodes() const;
    -
    56 
    -
    58  void setNumHiddenNodes(const int &num_hidden_nodes);
    -
    59 
    +
    27  regressionTemplate();
    +
    29  regressionTemplate(const std::vector<trainingExampleTemplate<T> > &trainingSet);
    +
    31  regressionTemplate(const int &numInputs, const int &numOutputs);
    +
    32 
    +
    34  ~regressionTemplate() {};
    +
    35 
    +
    37  bool train(const std::vector<trainingExampleTemplate<T> > &trainingSet) override;
    +
    38 
    +
    40  float getTrainingProgress();
    +
    41 
    +
    43  std::vector<size_t> getNumEpochs() const;
    +
    44 
    +
    46  void setNumEpochs(const size_t &epochs);
    +
    47 
    +
    49  std::vector<size_t> getNumHiddenLayers() const;
    +
    50 
    +
    52  void setNumHiddenLayers(const int &num_hidden_layers);
    +
    53 
    +
    55  std::vector<size_t> getNumHiddenNodes() const;
    +
    56 
    +
    58  void setNumHiddenNodes(const int &num_hidden_nodes);
    +
    59 
    60 private:
    -
    61  int numHiddenLayers; //Temporary -- this should be part of the nn class. -mz
    -
    62  size_t numEpochs; //Temporary -- also should be part of nn only. -mz
    -
    63  int numHiddenNodes; //Temporary -- also should be part of nn only. -mz
    -
    64  bool created;
    +
    61  size_t numHiddenLayers { 1 }; //Temporary -- this should be part of the nn class. -mz
    +
    62  size_t numEpochs; //Temporary -- also should be part of nn only. -mz
    +
    63  size_t numHiddenNodes; //Temporary -- also should be part of nn only. -mz
    +
    64  bool created;
    65 };
    66 
    67 namespace rapidLib
    68 {
    -
    69  //This is here so the old API still works
    -
    70  using regression = regressionTemplate<double>;
    -
    71  using regressionFloat = regressionTemplate<float>;
    +
    69 //This is here so the old API still works
    +
    70 using regression = regressionTemplate<double>;
    +
    71 using regressionFloat = regressionTemplate<float>;
    72 };
    73 
    74 #endif
    @@ -150,15 +150,15 @@
    modelSet::numOutputs
    int numOutputs
    Definition: modelSet.h:46
    modelSet::numInputs
    int numInputs
    Definition: modelSet.h:44
    regressionTemplate
    Definition: regression.h:24
    -
    regressionTemplate::getNumHiddenNodes
    std::vector< int > getNumHiddenNodes() const
    Definition: regression.cpp:99
    -
    regressionTemplate::getTrainingProgress
    float getTrainingProgress()
    Definition: regression.cpp:231
    -
    regressionTemplate::setNumEpochs
    void setNumEpochs(const size_t &epochs)
    Definition: regression.cpp:153
    +
    regressionTemplate::getTrainingProgress
    float getTrainingProgress()
    Definition: regression.cpp:233
    +
    regressionTemplate::setNumEpochs
    void setNumEpochs(const size_t &epochs)
    Definition: regression.cpp:155
    regressionTemplate::regressionTemplate
    regressionTemplate()
    Definition: regression.cpp:21
    -
    regressionTemplate::setNumHiddenNodes
    void setNumHiddenNodes(const int &num_hidden_nodes)
    Definition: regression.cpp:118
    -
    regressionTemplate::getNumEpochs
    std::vector< size_t > getNumEpochs() const
    Definition: regression.cpp:134
    -
    regressionTemplate::setNumHiddenLayers
    void setNumHiddenLayers(const int &num_hidden_layers)
    Definition: regression.cpp:84
    -
    regressionTemplate::train
    bool train(const std::vector< trainingExampleTemplate< T > > &trainingSet) override
    Definition: regression.cpp:168
    -
    regressionTemplate::getNumHiddenLayers
    std::vector< int > getNumHiddenLayers() const
    Definition: regression.cpp:65
    +
    regressionTemplate::setNumHiddenNodes
    void setNumHiddenNodes(const int &num_hidden_nodes)
    Definition: regression.cpp:120
    +
    regressionTemplate::getNumEpochs
    std::vector< size_t > getNumEpochs() const
    Definition: regression.cpp:136
    +
    regressionTemplate::setNumHiddenLayers
    void setNumHiddenLayers(const int &num_hidden_layers)
    Definition: regression.cpp:85
    +
    regressionTemplate::getNumHiddenLayers
    std::vector< size_t > getNumHiddenLayers() const
    Definition: regression.cpp:65
    +
    regressionTemplate::getNumHiddenNodes
    std::vector< size_t > getNumHiddenNodes() const
    Definition: regression.cpp:100
    +
    regressionTemplate::train
    bool train(const std::vector< trainingExampleTemplate< T > > &trainingSet) override
    Definition: regression.cpp:170
    regressionTemplate::~regressionTemplate
    ~regressionTemplate()
    Definition: regression.h:34
    modelSet.h
    rapidLib
    Definition: classification.h:75
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